Triple

T15625575
Position Surface form Disambiguated ID Type / Status
Subject Mike and Dave Need Wedding Dates E375667 entity
Predicate screenwriter P2831 FINISHED
Object Andrew Jay Cohen E630755 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Andrew Jay Cohen | Statement: [Mike and Dave Need Wedding Dates, screenwriter, Andrew Jay Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Jay Cohen
Context triple: [Mike and Dave Need Wedding Dates, screenwriter, Andrew Jay Cohen]
  • A. Andrew Cohen
    Andrew Cohen is an American television producer and media executive best known for creating and hosting Bravo’s late-night talk show "Watch What Happens Live with Andy Cohen."
  • B. Andrew Cohen
    Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
  • C. Andrew Cohen
    Andrew Cohen is a theoretical physicist known for his work in particle physics and for being one of Howard Georgi’s prominent students.
  • D. Andrew J. Cohen chosen
    Andrew J. Cohen is an American screenwriter and director best known for co-writing hit comedy films such as Neighbors and its sequel.
  • E. Allen Cohen
    Allen Cohen was a counterculture activist and poet best known for helping organize the landmark 1967 Human Be-In in San Francisco’s Golden Gate Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9e5e248190ae54cda1fde51efb completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678c9d8c8190be73b6e7ed558e99 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:14 a.m.